Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What are the cities with exactly two airports?
[query_database(**{'query': 'SELECT city FROM airports GROUP BY city HAVING count(*) = 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the number of routes whose destinations are Italian airports?
[query_database(**{'query': 'SELECT count(*) FROM routes AS T1 JOIN airports AS T2 ON T1.dst_apid = T2.apid WHERE T2.country = 'Italy''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,874
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the number of routes that end at John F Kennedy International Airport?
[query_database(**{'query': 'SELECT count(*) FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.dst_apid WHERE T1.name = 'John F Kennedy International Airport''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question How many routes go from the United States to Canada?
[query_database(**{'query': 'SELECT count(*) FROM routes WHERE dst_apid IN (SELECT apid FROM airports WHERE country = 'Canada') AND src_apid IN (SELECT apid FROM airports WHERE country = 'United States')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,881
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the busiest source airport that runs most number of routes in China.
[query_database(**{'query': 'SELECT T1.name FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.src_apid WHERE T1.country = 'China' GROUP BY T1.name ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,885
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question What is the id of the most recent order?
[query_database(**{'query': 'SELECT order_id FROM orders ORDER BY date_order_placed DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,890
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Which order's shipment tracking number is "3452"? Give me the id of the order.
[query_database(**{'query': 'SELECT order_id FROM shipments WHERE shipment_tracking_number = "3452"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,894
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Which customers have orders with status "Packing"? Give me the customer names.
[query_database(**{'query': 'SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "Packing"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,898
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Which customer made the most orders? Find the customer name.
[query_database(**{'query': 'SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,901
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Give me a list of id and status of orders which belong to the customer named "Jeramie".
[query_database(**{'query': 'SELECT T2.order_id , T2.order_status FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T1.customer_name = "Jeramie"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,905
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Give me the names of customers who have placed orders between 2009-01-01 and 2010-01-01.
[query_database(**{'query': 'SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.date_order_placed >= "2009-01-01" AND T2.date_order_placed <= "2010-01-01"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,909
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find the names of the customers who have order status both "On Road" and "Shipped".
[query_database(**{'query': 'SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "On Road" INTERSECT SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "Shipped"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,913
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question When was the order placed whose shipment tracking number is 3452? Give me the date.
[query_database(**{'query': 'SELECT T1.date_order_placed FROM orders AS T1 JOIN shipments AS T2 ON T1.order_id = T2.order_id WHERE T2.shipment_tracking_number = 3452'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,917
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question List the count and id of each product in all the orders.
[query_database(**{'query': 'SELECT count(*) , T3.product_id FROM orders AS T1 JOIN order_items AS T2 JOIN products AS T3 ON T1.order_id = T2.order_id AND T2.product_id = T3.product_id GROUP BY T3.product_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,921
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find the ids of orders which are shipped after 2000-01-01.
[query_database(**{'query': 'SELECT order_id FROM shipments WHERE shipment_date > "2000-01-01"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,925
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question List the names of all distinct products in alphabetical order.
[query_database(**{'query': 'SELECT DISTINCT product_name FROM products ORDER BY product_name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question What is the id of the order which has the most items?
[query_database(**{'query': 'SELECT T1.order_id FROM orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id GROUP BY T1.order_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find the invoice numbers which are created before 1989-09-03 or after 2007-12-25.
[query_database(**{'query': 'SELECT invoice_number FROM invoices WHERE invoice_date < "1989-09-03" OR invoice_date > "2007-12-25"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question For each customer who has at least two orders, find the customer name and number of orders made.
[query_database(**{'query': 'SELECT T2.customer_name , count(*) FROM orders AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question List the names of the customers who have once bought product "food".
[query_database(**{'query': 'SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 JOIN order_items AS T3 JOIN products AS T4 ON T1.customer_id = T2.customer_id AND T2.order_id = T3.order_id AND T3.product_id = T4.product_id WHERE T4.product_name = "food" GROUP BY T1.customer_id HAVING count(*) >= 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */ ### Question How many architects are female?
[query_database(**{'query': 'SELECT count(*) FROM architect WHERE gender = 'female''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */
6,949
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */ ### Question What are the names and year of construction for the mills of 'Grondzeiler' type?
[query_database(**{'query': 'SELECT name , built_year FROM mill WHERE TYPE = 'Grondzeiler''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */
6,953
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */ ### Question What are the ids and names of the architects who built at least 3 bridges ?
[query_database(**{'query': 'SELECT T1.id , T1.name FROM architect AS T1 JOIN bridge AS T2 ON T1.id = T2.architect_id GROUP BY T1.id HAVING count(*) >= 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */
6,957
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */ ### Question Which of the mill names contains the french word 'Moulin'?
[query_database(**{'query': 'SELECT name FROM mill WHERE name LIKE '%Moulin%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */
6,961
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */ ### Question show the name of all bridges that was designed by american archtect, and sort the result by the bridge feet length.
[query_database(**{'query': 'SELECT t1.name FROM bridge AS t1 JOIN architect AS t2 ON t1.architect_id = t2.id WHERE t2.nationality = 'American' ORDER BY t1.length_feet'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */
6,965
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question What are the titles and authors or editors that correspond to books made after 1989?
[query_database(**{'query': 'SELECT book_title , author_or_editor FROM book_club WHERE YEAR > 1989'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,969
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question What are the years, titles, and publishers for all books, ordered by year descending?
[query_database(**{'query': 'SELECT YEAR , book_title , publisher FROM book_club ORDER BY YEAR DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,973
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question Return the publisher that has published the most books.
[query_database(**{'query': 'SELECT publisher FROM book_club GROUP BY publisher ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,977
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question What categories have two or more corresponding books that were made after 1989?
[query_database(**{'query': 'SELECT category FROM book_club WHERE YEAR > 1989 GROUP BY category HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,981
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question Which publishers did not publish a book in 1989?
[query_database(**{'query': 'SELECT publisher FROM book_club EXCEPT SELECT publisher FROM book_club WHERE YEAR = 1989'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,985
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question Count the number of different directors.
[query_database(**{'query': 'SELECT COUNT (DISTINCT director) FROM movie'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,989
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question Which directors had a movie both in the year 1999 and 2000?
[query_database(**{'query': 'SELECT director FROM movie WHERE YEAR = 2000 INTERSECT SELECT director FROM movie WHERE YEAR = 1999'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,993
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question Return the average, maximum, and minimum budgets in millions for movies made before the year 2000.
[query_database(**{'query': 'SELECT avg(budget_million) , max(budget_million) , min(budget_million) FROM movie WHERE YEAR < 2000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,997
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question What are the titles of movies and books corresponding to companies incorporated in China?
[query_database(**{'query': 'SELECT T1.title , T3.book_title FROM movie AS T1 JOIN culture_company AS T2 ON T1.movie_id = T2.movie_id JOIN book_club AS T3 ON T3.book_club_id = T2.book_club_id WHERE T2.incorporated_in = 'China''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
3
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */ ### Question What are the maximum and minimum budget of the departments?
[query_database(**{'query': 'SELECT max(budget_in_billions) , min(budget_in_billions) FROM department'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */ ### Question What are the names of the states where at least 3 heads were born?
[query_database(**{'query': 'SELECT born_state FROM head GROUP BY born_state HAVING count(*) >= 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */ ### Question How many departments are led by heads who are not mentioned?
[query_database(**{'query': 'SELECT count(*) FROM department WHERE department_id NOT IN (SELECT department_id FROM management);'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */ ### Question Which head's name has the substring 'Ha'? List the id and name.
[query_database(**{'query': 'SELECT head_id , name FROM head WHERE name LIKE '%Ha%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question What is the total horses record for each farm, sorted ascending?
[query_database(**{'query': 'SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
23
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question Return the themes of farm competitions, sorted by year ascending.
[query_database(**{'query': 'SELECT Theme FROM farm_competition ORDER BY YEAR ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
27
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question Return the maximum and minimum number of cows across all farms.
[query_database(**{'query': 'SELECT max(Cows) , min(Cows) FROM farm'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
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28441, 22551, 13922, 1663, 1232, 364, 4963, 23479, 19552, 4393, 3363, 15888, 7866, 40629, 16477, 66360, 60, 128009 ]
Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question What are the official names of cities, ordered descending by population?
[query_database(**{'query': 'SELECT Official_Name FROM city ORDER BY Population DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
34
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question Show the years and the official names of the host cities of competitions.
[query_database(**{'query': 'SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
39
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question What is the status of the city that has hosted the most competitions?
[query_database(**{'query': 'SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
42
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question Please show the different statuses of cities and the average population of cities with each status.
[query_database(**{'query': 'SELECT Status , avg(Population) FROM city GROUP BY Status'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
45
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question Return the different statuses of cities, ascending by frequency.
[query_database(**{'query': 'SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question What are the official names of cities that have not hosted a farm competition?
[query_database(**{'query': 'SELECT Official_Name FROM city WHERE City_ID NOT IN (SELECT Host_city_ID FROM farm_competition)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
53
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question What are the official names of cities that have population over 1500 or less than 500?
[query_database(**{'query': 'SELECT Official_Name FROM city WHERE Population > 1500 OR Population < 500'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
57
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What is the name of the course with the most registered students?
[query_database(**{'query': 'SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question List the id of students who never attends courses?
[query_database(**{'query': 'SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
65
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the ids of all students who have attended at least one course?
[query_database(**{'query': 'SELECT student_id FROM student_course_attendance'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
70
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question How many students are attending English courses?
[query_database(**{'query': 'SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "English"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
75
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question Find id of the candidate who most recently accessed the course?
[query_database(**{'query': 'SELECT candidate_id FROM candidate_assessments ORDER BY assessment_date DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
78
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the details of the student who registered for the most number of courses?
[query_database(**{'query': 'SELECT T1.student_details FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
83
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question Find id of candidates whose assessment code is "Pass"?
[query_database(**{'query': 'SELECT candidate_id FROM candidate_assessments WHERE asessment_outcome_code = "Pass"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
87
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the id of students who registered course 301?
[query_database(**{'query': 'SELECT student_id FROM student_course_attendance WHERE course_id = 301'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
91
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question Find distinct cities of addresses of people?
[query_database(**{'query': 'SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
95
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question List the names of courses in alphabetical order?
[query_database(**{'query': 'SELECT course_name FROM courses ORDER BY course_name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
99
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are the id of students who registered courses or attended courses?
[query_database(**{'query': 'SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
103
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question What are all info of students who registered courses but not attended courses?
[query_database(**{'query': 'SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
107
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */ ### Question List the id of students who attended statistics courses in the order of attendance date.
[query_database(**{'query': 'SELECT T2.student_id FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.date_of_attendance'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( address_id INTEGER NOT NULL, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1 || line_2 || city ||zip_postcode ||state_province_county ||country 5 ||0900 Roderick Oval New Albina, WA 19200-7914 ||Suite 096 ||Linnealand || 862 || Montana || USA */ CREATE TABLE People ( person_id INTEGER NOT NULL, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40), PRIMARY KEY (person_id) ) /* 1 example row: SELECT * FROM people LIMIT 1; person_id ||first_name ||middle_name ||last_name ||cell_mobile_number || email_address ||login_name || password 111 || Shannon || Elissa || Senger || 01955267735 ||[email protected] || pgub ||5e4ff49a61b3544da3ad7dc7e2cf28847564c64c */ CREATE TABLE Students ( student_id INTEGER NOT NULL, student_details VARCHAR(255), PRIMARY KEY (student_id), FOREIGN KEY (student_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM students LIMIT 1; student_id ||student_details 111 || Marry */ CREATE TABLE Courses ( course_id VARCHAR(100) NOT NULL, course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (course_id) ) /* 1 example row: SELECT * FROM courses LIMIT 1; course_id ||course_name ||course_description ||other_details 301 || statistics || statistics || None */ CREATE TABLE People_Addresses ( person_address_id INTEGER NOT NULL, person_id INTEGER NOT NULL, address_id INTEGER NOT NULL, date_from DATETIME, date_to DATETIME, PRIMARY KEY (person_address_id), FOREIGN KEY (person_id) REFERENCES People (person_id), FOREIGN KEY (address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM people_addresses LIMIT 1; person_address_id ||person_id ||address_id || date_from || date_to 122 || 111 || 9 ||2012-09-26 13:21:00 ||2018-03-21 09:46:30 */ CREATE TABLE Student_Course_Registrations ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, registration_date DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id) REFERENCES Students (student_id), FOREIGN KEY (course_id) REFERENCES Courses (course_id) ) /* 1 example row: SELECT * FROM student_course_registrations LIMIT 1; student_id ||course_id || registration_date 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Student_Course_Attendance ( student_id INTEGER NOT NULL, course_id INTEGER NOT NULL, date_of_attendance DATETIME NOT NULL, PRIMARY KEY (student_id, course_id), FOREIGN KEY (student_id, course_id) REFERENCES Student_Course_Registrations (student_id,course_id) ) /* 1 example row: SELECT * FROM student_course_attendance LIMIT 1; student_id ||course_id || date_of_attendance 111 || 301 ||2008-11-04 10:35:13 */ CREATE TABLE Candidates ( candidate_id INTEGER NOT NULL , candidate_details VARCHAR(255), PRIMARY KEY (candidate_id), FOREIGN KEY (candidate_id) REFERENCES People (person_id) ) /* 1 example row: SELECT * FROM candidates LIMIT 1; candidate_id ||candidate_details 111 || Jane */ CREATE TABLE Candidate_Assessments ( candidate_id INTEGER NOT NULL, qualification CHAR(15) NOT NULL, assessment_date DATETIME NOT NULL, asessment_outcome_code CHAR(15) NOT NULL, PRIMARY KEY (candidate_id, qualification), FOREIGN KEY (candidate_id) REFERENCES Candidates (candidate_id) ) /* 1 example row: SELECT * FROM candidate_assessments LIMIT 1; candidate_id ||qualification || assessment_date ||asessment_outcome_code 111 || A ||2010-04-07 11:44:34 || Pass */
111
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the names of stations that have latitude lower than 37.5?
[query_database(**{'query': 'SELECT name FROM station WHERE lat < 37.5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
114
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question For each city, what is the highest latitude for its stations?
[query_database(**{'query': 'SELECT city , max(lat) FROM station GROUP BY city'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
118
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the average latitude and longitude in San Jose?
[query_database(**{'query': 'SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
123
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question For each zip code, return the average mean temperature of August there.
[query_database(**{'query': 'SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
127
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the number of distinct cities the stations are located at?
[query_database(**{'query': 'SELECT count(DISTINCT city) FROM station'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
131
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question Return the unique name for stations that have ever had 7 bikes available.
[query_database(**{'query': 'SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
135
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question Which bike traveled the most often in zip code 94002?
[query_database(**{'query': 'SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
139
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the latitude, longitude, city of the station from which the shortest trip started?
[query_database(**{'query': 'SELECT T1.lat , T1.long , T1.city FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id ORDER BY T2.duration LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
143
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the names and ids of stations that had more than 14 bikes available on average or were installed in December?
[query_database(**{'query': 'SELECT T1.name , T1.id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(T2.bikes_available) > 14 UNION SELECT name , id FROM station WHERE installation_date LIKE "12/%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
147
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the zip code in which the average mean sea level pressure is the lowest?
[query_database(**{'query': 'SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
150
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the average bike availablility for stations not in Palo Alto?
[query_database(**{'query': 'SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
155
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question Give me ids for all the trip that took place in a zip code area with average mean temperature above 60.
[query_database(**{'query': 'SELECT T1.id FROM trip AS T1 JOIN weather AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.zip_code HAVING avg(T2.mean_temperature_f) > 60'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
159
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question On which day and in which zip code was the min dew point lower than any day in zip code 94107?
[query_database(**{'query': 'SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
163
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question Which trip started from the station with the largest dock count? Give me the trip id.
[query_database(**{'query': 'SELECT T1.id FROM trip AS T1 JOIN station AS T2 ON T1.start_station_id = T2.id ORDER BY T2.dock_count DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
167
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question In zip code 94107, on which day neither Fog nor Rain was not observed?
[query_database(**{'query': 'SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
171
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are names of stations that have average bike availability above 10 and are not located in San Jose city?
[query_database(**{'query': 'SELECT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(bikes_available) > 10 EXCEPT SELECT name FROM station WHERE city = "San Jose"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
175
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the date, mean temperature and mean humidity for the top 3 days with the largest max gust speeds?
[query_database(**{'query': 'SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
178
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What is the name of every city that has at least 15 stations and how many stations does it have?
[query_database(**{'query': 'SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
183
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question List all the cities in a decreasing order of each city's stations' highest latitude.
[query_database(**{'query': 'SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
186
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the dates that have the 5 highest cloud cover rates and what are the rates?
[query_database(**{'query': 'SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
190
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question For each start station id, what is its name, longitude and average duration of trips started there?
[query_database(**{'query': 'SELECT T1.name , T1.long , avg(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
195
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question Find all the zip codes in which the max dew point have never reached 70.
[query_database(**{'query': 'SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
199
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the dates in which the mean sea level pressure was between 30.3 and 31?
[query_database(**{'query': 'SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
202
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the days that had the smallest temperature range, and what was that range?
[query_database(**{'query': 'SELECT date , max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
206
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question What are the zip codes that have an average mean humidity below 70 and had at least 100 trips come through there?
[query_database(**{'query': 'SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_humidity) < 70 INTERSECT SELECT zip_code FROM trip GROUP BY zip_code HAVING count(*) >= 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
209
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */ ### Question How many trips started from Mountain View city and ended at Palo Alto city?
[query_database(**{'query': 'SELECT count(*) FROM station AS T1 JOIN trip AS T2 JOIN station AS T3 JOIN trip AS T4 ON T1.id = T2.start_station_id AND T2.id = T4.id AND T3.id = T4.end_station_id WHERE T1.city = "Mountain View" AND T3.city = "Palo Alto"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE station ( id INTEGER PRIMARY KEY, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT) /* 1 example row: SELECT * FROM station LIMIT 1; id || name || lat || long ||dock_count || city ||installation_date 2 ||San Jose Diridon Caltrain Station ||37.329732 ||-121.90178200000001 || 27 ||San Jose || 8/6/2013 */ CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT, FOREIGN KEY (station_id) REFERENCES station(id) ) /* 1 example row: SELECT * FROM status LIMIT 1; station_id ||bikes_available ||docks_available || time 3 || 12 || 3 ||2015-06-02 12:46:02 */ CREATE TABLE trip ( id INTEGER PRIMARY KEY, duration INTEGER, start_date TEXT, start_station_name TEXT, -- this should be removed start_station_id INTEGER, end_date TEXT, end_station_name TEXT, -- this should be removed end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER) /* 1 example row: SELECT * FROM trip LIMIT 1; id ||duration || start_date ||start_station_name ||start_station_id || end_date || end_station_name ||end_station_id ||bike_id ||subscription_type ||zip_code 900504 || 384 ||8/21/2015 17:03 || Howard at 2nd || 63 ||8/21/2015 17:10 ||San Francisco Caltrain 2 (330 Townsend) || 69 || 454 || Subscriber || 94041 */ CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER) /* 1 example row: SELECT * FROM weather LIMIT 1; date ||max_temperature_f ||mean_temperature_f ||min_temperature_f ||max_dew_point_f ||mean_dew_point_f ||min_dew_point_f ||max_humidity ||mean_humidity ||min_humidity ||max_sea_level_pressure_inches ||mean_sea_level_pressure_inches ||min_sea_level_pressure_inches ||max_visibility_miles ||mean_visibility_miles ||min_visibility_miles ||max_wind_Speed_mph ||mean_wind_speed_mph ||max_gust_speed_mph ||precipitation_inches ||cloud_cover ||events ||wind_dir_degrees ||zip_code 8/29/2013 || 74 || 68 || 61 || 61 || 58 || 56 || 93 || 75 || 57 || 30.07 || 30.02 || 29.97 || 10 || 10 || 10 || 23 || 11 || 28 || 0 || 4 || || 286 || 94107 */
213
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question How many books are there?
[query_database(**{'query': 'SELECT count(*) FROM book'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
217
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question What are the title and issues of the books?
[query_database(**{'query': 'SELECT Title , Issues FROM book'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
221
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question List the publication dates of publications with 3 lowest prices.
[query_database(**{'query': 'SELECT Publication_Date FROM publication ORDER BY Price ASC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
225
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question Show publishers that have more than one publication.
[query_database(**{'query': 'SELECT Publisher FROM publication GROUP BY Publisher HAVING COUNT(*) > 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
229
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question List the titles of books that are not published.
[query_database(**{'query': 'SELECT Title FROM book WHERE Book_ID NOT IN (SELECT Book_ID FROM publication)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
233
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */ ### Question Show the prices of publications whose publisher is either "Person" or "Wiley"
[query_database(**{'query': 'SELECT Price FROM publication WHERE Publisher = "Person" OR Publisher = "Wiley"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "publication" ( "Publication_ID" int, "Book_ID" int, "Publisher" text, "Publication_Date" text, "Price" real, PRIMARY KEY ("Publication_ID"), FOREIGN KEY ("Book_ID") REFERENCES "book"("Book_ID") ) /* 1 example row: SELECT * FROM publication LIMIT 1; Publication_ID ||Book_ID ||Publisher ||Publication_Date || Price 1 || 1 || Pearson || August 2008 ||15000000.0 */ CREATE TABLE "book" ( "Book_ID" int, "Title" text, "Issues" real, "Writer" text, PRIMARY KEY ("Book_ID") ) /* 1 example row: SELECT * FROM book LIMIT 1; Book_ID || Title ||Issues || Writer 1 ||The Black Lamb || 6.0 ||Timothy Truman */
237
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */ ### Question What are the names of actors, ordered alphabetically?
[query_database(**{'query': 'SELECT Name FROM actor ORDER BY Name ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */ ### Question What are the names of actors who are not 20 years old?
[query_database(**{'query': 'SELECT Name FROM actor WHERE Age != 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */
245
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */ ### Question Return the duration of the actor with the greatest age.
[query_database(**{'query': 'SELECT Duration FROM actor ORDER BY Age DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */
249
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */ ### Question Return the different nominees of musicals that have an award that is not the Tony Award.
[query_database(**{'query': 'SELECT DISTINCT Nominee FROM musical WHERE Award != "Tony Award"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */
253
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */ ### Question What are the names of actors who have been in the musical titled The Phantom of the Opera?
[query_database(**{'query': 'SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID WHERE T2.Name = "The Phantom of the Opera"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */
257
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */ ### Question How many actors have appeared in each musical?
[query_database(**{'query': 'SELECT T2.Name , COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */
261
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */ ### Question How many musicals has each nominee been nominated for?
[query_database(**{'query': 'SELECT Nominee , COUNT(*) FROM musical GROUP BY Nominee'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988β€” || 26 */